Candidate screening and scheduling
Apply an approved rubric, explain evidence, and schedule only recruiter-approved candidates.
What this workflow does
Apply an approved rubric, explain evidence, and schedule only recruiter-approved candidates. It resolves identity, enriches the case with approved evidence, and shows why the proposed route is appropriate before anything is assigned.
What you gain
Recruiter-reviewed shortlist and interview slots
What the AI agent changes
How this worked before
Rule-based routing handled only clean, predefined fields and broke when the request was incomplete or written in natural language.
What the AI agent changes
The agent can interpret unstructured context, gather missing evidence, explain its recommendation, and pause when confidence is low.
Agent trigger
A complete application enters an open requisition.
Inputs
- Process context: application, job rubric, work authorization, and availability
- Approved policies, ownership, and exception rules
Agent flow
- 1
Resolve the case identity and validate source freshness.
- 2
Enrich the case with approved context and show every scoring signal.
- 3
Prepare a rubric-based recommendation without protected traits with confidence and exceptions.
- 4
Create the approved assignment and notify its owner.
Human decisions
After step 3
The accountable process owner approves a rubric-based recommendation without protected traits.
Outcome
- Recruiter-reviewed shortlist and interview slots
- Evidence, exceptions, and audit trail
Guardrails
- Do not route low-confidence identity matches automatically.
- Use an allowlist of destinations and writable fields.
Risks and mitigations
A wrong identity match can send a case to the wrong owner.
Require deterministic identifiers and expose the routing rationale.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.